Association of Supporting Trial Evidence and Reimbursement for Off-Label Use of Cancer Drugs.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 03 2021
Historique:
entrez: 2 3 2021
pubmed: 3 3 2021
medline: 22 6 2021
Statut: epublish

Résumé

In many health systems, access to off-label drug use is controlled through reimbursement restrictions by health insurers, especially for expensive cancer drugs. To determine whether evidence from randomized clinical trials is associated with reimbursement decisions for requested off-label use of anticancer drugs in the Swiss health system. This cross-sectional study used reimbursement requests from routinely collected health records of 5809 patients with drug treatment for cancer between January 2015 and July 2018 in 3 major cancer centers, covering cancer care of approximately 5% of the Swiss population, to identify off-label drug use. For each off-label use indication with 3 or more requests, randomized clinical trial evidence on treatment benefits was systematically identified for overall survival (OS) or progression-free survival (PFS). Data were analyzed from August 2018 to December 2020. Available randomized clinical trial evidence on benefits for OS or PFS for requested off-label use indications. The main outcome was the association between evidence for treatment benefit (expressed as improved OS or PFS) and reimbursement in multivariable regression models. Among 3046 patients with cancer, 695 off-label use reimbursement requests in 303 different indications were made for 598 patients (median [interquartile range] age, 64 [53-73] years; 420 [60%] men). Off-label use was intended as first-line treatment in 311 requests (45%). Reimbursement was accepted in 446 requests (64%). For 71 indications, including 431 requests for 376 patients, there were 3 or more requests. Of these, 246 requests (57%) had no supporting evidence for OS or PFS benefit. Reimbursement was granted in 162 of 246 requests without supporting evidence (66%). Of 117 requests supported by OS benefit, 79 (67%) were reimbursed, and of 68 requests supported by PFS benefit alone, 54 (79%) were reimbursed. Evidence of OS benefit from randomized clinical trials was not associated with a higher chance of reimbursement (odds ratio, 0.76, 95% CI, 0.45-1.27). These findings suggest that in a health care system enabling access to off-label use, it was frequently intended as a first-line treatment in cancer care. Availability of randomized clinical trial evidence showing survival benefit was not associated with reimbursement decisions for off-label anticancer drug treatment in Switzerland. A transparent process with criteria considering clinical evidence is needed for evidence-based reimbursement decisions to ensure fair access to cancer treatments.

Identifiants

pubmed: 33651108
pii: 2776927
doi: 10.1001/jamanetworkopen.2021.0380
pmc: PMC7926292
doi:

Substances chimiques

Antineoplastic Agents 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e210380

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Auteurs

Amanda Katherina Herbrand (AK)

Department of Medical Oncology, University Hospital Basel and University of Basel, Basel, Switzerland.
Department of Internal Medicine, St Claraspital, Basel, Switzerland.

Andreas M Schmitt (AM)

Department of Medical Oncology, University Hospital Basel and University of Basel, Basel, Switzerland.

Matthias Briel (M)

Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland.
Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.

Hannah Ewald (H)

Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland.
University Medical Library, University of Basel, Basel, Switzerland.

Marius Goldkuhle (M)

Department of Internal Medicine, University of Cologne, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Cologne, Germany.

Stefan Diem (S)

Department of Oncology and Hematology, Cantonal Hospital St Gallen, St Gallen, Switzerland.
Department of Oncology and Hematology, Spital Grabs, Grabs, Switzerland.

Anouk Hoogkamer (A)

Department of Medical Oncology, University Hospital Basel and University of Basel, Basel, Switzerland.

Markus Joerger (M)

Department of Oncology and Hematology, Cantonal Hospital St Gallen, St Gallen, Switzerland.

Giusi Moffa (G)

Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland.

Urban Novak (U)

Department of Medical Oncology, Bern University Hospital, Bern, Switzerland.

Lars G Hemkens (LG)

Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland.
Meta-Research Innovation Center Berlin (METRICS-B), Berlin Institute of Health, Berlin, Germany.
Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California.

Benjamin Kasenda (B)

Department of Medical Oncology, University Hospital Basel and University of Basel, Basel, Switzerland.
Research and Development, iOMEDICO, Freiburg, Germany.

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Classifications MeSH